Lead Engineer - Distributed Systems

Description : Key Responsibilities

• Design, develop, and maintain simulation services and tools for ML feature, model, and rule evaluation.
• Build and optimize data pipelines for point-in-time historical data access and feature backfilling.
• Containerize and deploy ML models and services using Docker and Seldon on Kubernetes clusters.
• Integrate services with Clients GCP infrastructure and internal APIs for smooth simulation workflows.
• Collaborate with cross-functional teams including data scientists, ML engineers, and QA.
• Contribute to CI / CD pipelines and DevOps practices for automated testing, deployment, and monitoring.
• Write clean, maintainable, and well-documented code following best practices.
• Participate in code reviews, design discussions, and architecture decisions.
• Troubleshoot and optimize simulation jobs and platform services for performance and reliability.

Required Qualifications :

Preferred Qualifications :

(ref : hirist.tech)